Reproducibility and Consistency of Evaluation Techniques for HARDI Data
Authors
Affiliations
Object: The reproducibility of three evaluation techniques for high angular resolution diffusion imaging (HARDI) data, the diffusion tensor model, q-ball reconstruction and spherical deconvolution, are compared.
Materials And Methods: Two healthy volunteers were measured in a 3 T MR system six times with the same measurement parameters; one subject was measured with different b-values. The data was evaluated to compare the consistency and reproducibility of reconstructed diffusion directions and anisotropy values for the three investigated diffusion evaluation techniques. The angle difference between the reconstructed main directions of diffusion for the investigated techniques was evaluated. For q-ball and spherical deconvolution the consistency of the second dominant diffusion direction was additionally examined.
Results: The differences between the tensor model and q-ball or spherical deconvolution in the estimated diffusion direction decrease with an increase in fractional anisotropy. Increasing the smoothing kernel in q-ball reconstruction renders the results similar to the ones from the diffusion tensor evaluation. Consistency in the reconstructed directions did increase for larger b-values.
Conclusion: The evaluation of HARDI data in clinical conditions with q-ball or spherical deconvolution shows consistency and reproducibility similar to the diffusion tensor model, but provides valuable additional information about a second dominant direction of diffusion.
Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning.
Nath V, Parvathaneni P, Hansen C, Hainline A, Bermudez C, Remedios S Comput Diffus MRI. 2021; 2019:193-201.
PMID: 34456460 PMC: 8388262.
Granger S, Glynn L, Sandman C, Small S, Obenaus A, Keator D J Neurosci. 2020; 41(6):1242-1250.
PMID: 33328295 PMC: 7888232. DOI: 10.1523/JNEUROSCI.0374-20.2020.
Fan L, Lo Y, Hsu Y, Chen Y, Tseng W, Chou T Front Hum Neurosci. 2020; 14:233.
PMID: 32714169 PMC: 7344167. DOI: 10.3389/fnhum.2020.00233.
Nath V, Remedios S, Parvathaneni P, Hansen C, Bayrak R, Bermudez C Proc SPIE Int Soc Opt Eng. 2020; 10949.
PMID: 32089583 PMC: 7034942. DOI: 10.1117/12.2512902.
Neuroepigenetic signatures of age and sex in the living human brain.
Gilbert T, Zurcher N, Catanese M, Tseng C, Di Biase M, Lyall A Nat Commun. 2019; 10(1):2945.
PMID: 31270332 PMC: 6610136. DOI: 10.1038/s41467-019-11031-0.